simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data

simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data

The simcausal R package is a tool for specification and simulation of complex longitudinal data structures that are based on non-parametric structural equation models. The package aims to provide a flexible tool for simplifying the conduct of transparent and reproducible simulation studies, with a p...

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Bibliographic Details
Main Authors: Oleg Sofrygin, Mark J. van der Laan, Romain Neugebauer
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2017-10-01
Series:Journal of Statistical Software
Subjects:
causal inference
simulation
marginal structural model
structural equation model
directed acyclic graph
causal model
R
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3285

Internet

https://www.jstatsoft.org/index.php/jss/article/view/3285

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